Invention Grant
- Patent Title: Storing feature sets using semi-structured data storage
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Application No.: US17899160Application Date: 2022-08-30
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Publication No.: US11609927B2Publication Date: 2023-03-21
- Inventor: Simon A. Field , Stuart Ozer
- Applicant: Snowflake Inc.
- Applicant Address: US MT Bozeman
- Assignee: Snowflake Inc.
- Current Assignee: Snowflake Inc.
- Current Assignee Address: US MT Bozeman
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F16/25
- IPC: G06F16/25 ; G06F16/84 ; G06F16/2455 ; G06F16/22

Abstract:
The subject technology receives, by a database system, raw input data from a source table provided by a machine learning development environment, the source table comprising multiple rows where each row includes multiple columns, the raw input data comprising values in a first format, the values comprising input features corresponding to datasets included in the raw input data for machine learning models, the machine learning development environment comprising an external system from the database system and is accessed by a plurality of different users that are external to the database system. The subject technology generates cell data for a feature store table based at least in part on the values from the source table. The subject technology performs at least one database operation to generate the feature store table including at least table metadata, column metadata, and the generated cell data.
Public/Granted literature
- US20230004571A1 STORING FEATURE SETS USING SEMI-STRUCTURED DATA STORAGE Public/Granted day:2023-01-05
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